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Table 4 Results of logistic regression for the 10 most abundant species in the Wyl 9-ha plot. Probability of high species mingling was predicted using tree dbh as the explanatory variable. \(k\) denotes the number of nearest neighbors used to calculate the mingling index. High mingling was defined as \({M}_{i}^{(k)}\ge \frac{k-1}{k}\). \({\beta }_{1}\) and \({\beta }_{0}\) represent the slope and intercept parameters in the regressions. ***/**/* indicate \(p\) values < 0.001/ < 0.01/ < 0.05, respectively. Negative or non-significant slope parameters are bold

From: Localized neighborhood species mingling is correlated with individual tree size inequality in natural forests in South China

No

Species

k = 4

k = 6

k = 8

k = 10

\({\beta }_{1}\)

\({\beta }_{0}\)

\({\beta }_{1}\)

\({\beta }_{0}\)

\({\beta }_{1}\)

\({\beta }_{0}\)

\({\beta }_{1}\)

\({\beta }_{0}\)

1

Rhododendron latoucheae

0.189***

1.152

0.176***

0.469

0.170***

0.024

0.177***

 − 0.379

2

Eurya rubiginosa var. attenuate

0.148***

1.248

0.118***

0.615

0.114***

0.144

0.079**

 − 0.138

3

Camellia cuspidate

0.041

1.153

0.048*

0.468

0.050**

0.009

0.048**

 − 0.254

4

Neolitsea aurata var. chekiangensis

0.127**

2.549

0.115***

1.935

0.100***

1.429

0.120***

0.954

5

Rhododendron ovatum

0.086**

2.562

0.108***

1.694

0.096***

1.188

0.099***

0.799

6

Rhododendron mariesii

0.084**

1.933

0.066**

1.376

0.086***

0.782

0.090***

0.420

7

Cyclobalanopsis stewardiana

0.043**

2.564

0.048***

1.855

0.051***

1.374

0.056***

0.937

8

Eurya muricate

 − 0.098**

1.696

− 0.139***

1.143

 − 0.139***

0.735

− 0.184***

0.560

9

Machilus phoenicis

0.291**

2.151

0.229**

1.613

0.140*

1.255

0.149**

0.928

10

Castanopsis eyrie

0.018

3.879

0.018

3.219

0.007

3.019

0.013

2.659